AI+ Cloud™

The AI+ Cloud™ certification program targets developers and IT professionals aspiring to excel in cloud computing integrated with artificial intelligence. The curriculum offers an in-depth exploration of AI and cloud computing, encompassing advanced cloud infrastructure and AI model deployment. Participants gain practical insights into cloudbased AI applications, culminating in an interactive capstone project. With these skills, graduates are primed to navigate the dynamic AI+ Cloud™ integration landscape, equipped to design and implement AI solutions seamlessly within cloud environments for sustained success.

Certification Modules

  1. 1.1 Introduction to AI and Its Application
  2. 1.2 Overview of Cloud Computing and Its Benefits
  3. 1.3 Benefits and Challenges of AI-Cloud Integration
  1. 2.1 Basic Concepts and Principles of AI
  2. 2.2 Machine Learning and Its Applications
  3. 2.3 Overview of Common AI Algorithms
  4. 2.4 Introduction to Python Programming for AI
  1. 3.1 Cloud Service Models
  2. 3.2 Cloud Deployment Models
  3. 3.3 Key Cloud Providers and Offerings (AWS, Azure, Google Cloud)
  1. 4.1 Integration of AI Services in Cloud Platform
  2. 4.2 Working with Pre-built Machine Learning Models
  3. 4.3 Introduction to Cloud-based AI tools
  1. 5.1 Building and Training Machine Learning Models
  2. 5.2 Model Optimization and Evaluation
  3. 5.3 Collaborative AI Development in a Cloud Environment
  1. 6.1 Setting Up and Configuring Cloud Resources
  2. 6.2 Scalability and Performance Considerations
  3. 6.3 Data Storage and Management in the Cloud
  1. 7.1 Strategies for Deploying AI Models in the Cloud
  2. 7.2 Integration of AI Solutions with Existing Cloud-Based Applications
  3. 7.3 API Usage and Considerations
  1. 8.1 Introduction to Future Trends
  2. 8.2 AI Trends Impacting Cloud Integration
  1. 9.1 Exercise 1: Diabetes Prediction Using Machine Learning
  2. 9.2 Exercise 2: Building & Deploying an Image Classification Web App with GCP AutoML Vision Edge, Tensorflow.js & GCP App Engine
  3. 9.3 Exercise 3: How to deploy your own ML model to GCP in 5 simple steps.
  4. 9.4 Exercise 4: Google Cloud Platform Custom Model Upload , REST API Inference and Model Version Monitoring
  5. 9.5 Exercise 5: Deploy Machine Learning Model in Google Cloud Platform Using Flask

Exam Details

  • 9 Modules
  • 1 Examination
  • 50 Multiple Choice Questions, 90 Minutes
  • Passing Score: 70%

Certification Outcome

Market Insight

As businesses increasingly rely on cloud infrastructure and AI technologies, professionals with expertise in both domains are in high demand. The AI+ Cloud certification equips individuals with the sought-after skills to capitalize on this trend, offering a competitive edge in the job market and opening doors to lucrative career opportunities.

Value Proposition

Gain proficiency in merging cloud computing and artificial intelligence. Master creating, deploying, and managing machine learning tasks on leading cloud platforms. Optimize AI model performance, enforce security, and ensure compliance. This certification enhances your career profile, showcasing expertise in seamlessly integrating these cutting-edge technologies for practical solutions.

Additional Features

Interactive Sessions: Engage in discussions with industry experts and peers. Hands-on Exercises: Practical tasks to apply learned concepts in real-world scenarios. Case Studies: Dive deep into real business challenges and AI-driven solutions. Post-Certification Support: Access to a community of AI experts and enthusiasts for continuous learning and networking.